What Will You Learn
Take your RAG systems to the next level with advanced embedding techniques, vector databases, and neural re-ranking. This comprehensive course covers the full spectrum of modern retrieval methods that power today's most capable AI systems.
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Deep dive into embedding models (BERT, Sentence-Transformers), efficient vector search algorithms (FAISS, HNSW), vector database performance optimization, neural re-rankers, and techniques for training custom embedding models tailored to your specific domain.
Who Is This Course For
Software engineers, data scientists, and AI practitioners looking to implement advanced retrieval systems for LLMs
Meet Liz Howard
Future Infinitive☸️ aka Liz Howard, is a professor of Computer Science, Artificial Intelligence, and CyberSecurity. They're a Renegade Academic, formerly of Cal State Montery Bay. They co-founded Hackbright Academy, were instrumental in the growth of Girl Develop It a 501c3, co-founded Hipcamp, the Galvanize Web Development Program, Enki.com, and solo-founded The Multiverse School (but really the community founded it let's be real). Their products have touched 1 out of every 14 software engineers in the world, and nearly every outdoor enthusiast who camps in the United States.
Join as a Member
Just This Course
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- Deep dive into advanced RAG techniques
- Four 90-minute live sessions
- Hands-on experience with embedding models
- Learn vector search algorithms and database optimization
- Master neural re-ranking techniques
- Please self-select into this tier- if you need it, use it
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- Deep dive into advanced RAG techniques
- Four 90-minute live sessions
- Hands-on experience with embedding models
- Learn vector search algorithms and database optimization
- Master neural re-ranking techniques
- Help pay for underrepresented folks in tech!
Get In Touch
Want to hire us for your staff training or speaking at your conference?
You can email us at liz@themultiverse.school